Invalid free in binaries on error message #5400
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@li-roy, can you take a look at this? |
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@jatentaki I couldn't reproduce this. I get an invalid argument error. Were you using different numbers initially? |
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No, re-cloning the repo reproduces the bug for me. Also, I've just upgraded 3.0post4 to 3.1 and it also reproduces. Aren't you using a source-build master?
EDIT: Nvm the above, I confused it with a different layer. This snippet is definitely a bug on my side and should indeed be caught with invalid argument exception. EDIT2: I am running the no-cuda wheel. Perhaps that makes the difference? |
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So, the invalid free is a bit of a side-effect of the wheel binaries that we have. He couldn't reproduce it probably because of using conda binaries or source installs. the rabbit-hole is deep, but the happens roughly because of this:
So what actually is happening is
In the next binary release, I'll figure out a solution for this. Thanks a lot for the issue and the repro. |
soumith
changed the title
This was referenced Mar 19, 2018
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Hey, I got the same error, not sure if it's useful but here's a simpler reproducing code: import torch
from torch import nn
from torch.autograd import Variable
m = nn.Sequential(
nn.Conv1d(1, 8, kernel_size=10, stride=1),
nn.MaxPool1d(2496)
)
a = torch.randn(256, 1, 2500)
m(Variable(a))I also get etc. Can confirm this works on the latest master '0.4.0a0+533beab', but not on stable 0.3.1 (wheel) |
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fixed in 0.4 |
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In version I am on Arch Linux by the way. |
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I've built v1.0.0 branch from source and I get this issue as well. And I found a solution here. user iammohitchhabra wrote that fixes the error, and it indeed works on Ubuntu 16.04. |
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Are these crashes in |
do we know what is causing the issue? @soumith I have a higher version
and I get that error... |
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I faced a similar issue. It turned out that I had a different CUDA loaded through the module system on the server; it got fixed once i removed it. Hope this helps. |
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To reproduce, clone this repo and execute
python3 run_cnn.py. On my machine it results in the following stack trace.I believe the script is self-explanatory, I was trying to maxpool a 3d convolved tensor :)
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